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  • Open Access

    ARTICLE

    Clustering Collision Power Attack on RSA-CRT

    Wunan Wan1,*, Jun Chen1, Jinyue Xia2, Jinquan Zhang1, Shibin Zhang1, Hao Chen1

    Computer Systems Science and Engineering, Vol.36, No.2, pp. 417-434, 2021, DOI:10.32604/csse.2021.014460 - 05 January 2021

    Abstract In this paper, we propose two new attack algorithms on RSA implementations with CRT (Chinese remainder theorem). To improve the attack efficiency considerably, a clustering collision power attack on RSA with CRT is introduced via chosen-message pairs. This attack method is that the key parameters dp and dq are segmented by byte, and the modular multiplication collisions are identified by k-means clustering. The exponents dp and dq were recovered by 12 power traces of six groups of the specific message pairs, and the exponent d was obtained. We also propose a second order clustering collision power analysis attack More >

  • Open Access

    ARTICLE

    Smart Healthcare Using Data-Driven Prediction of Immunization Defaulters in Expanded Program on Immunization (EPI)

    Sadaf Qazi1, Muhammad Usman1, Azhar Mahmood1, Aaqif Afzaal Abbasi2, Muhammad Attique3, Yunyoung Nam4,*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 589-602, 2021, DOI:10.32604/cmc.2020.012507 - 30 October 2020

    Abstract Immunization is a noteworthy and proven tool for eliminating lifethreating infectious diseases, child mortality and morbidity. Expanded Program on Immunization (EPI) is a nation-wide program in Pakistan to implement immunization activities, however the coverage is quite low despite the accessibility of free vaccination. This study proposes a defaulter prediction model for accurate identification of defaulters. Our proposed framework classifies defaulters at five different stages: defaulter, partially high, partially medium, partially low, and unvaccinated to reinforce targeted interventions by accurately predicting children at high risk of defaulting from the immunization schedule. Different machine learning algorithms are… More >

  • Open Access

    ARTICLE

    Are postoperative antibiotics necessary after artificial urinary sphincter insertion?

    Benjamin M. Dropkin1, Jeremiah D. Dallmer2, Leah P. Chisholm2, Niels V. Johnsen1, Roger R. Dmochowski1, Douglas F. Milam1, Melissa R. Kaufman1

    Canadian Journal of Urology, Vol.27, No.6, pp. 10437-10442, 2020

    Abstract Introduction: We sought to explore whether patients discharged without antibiotics after artificial urinary sphincter (AUS) insertion were more likely to require device explantation for infection or erosion compared to patients discharged with antibiotics at our institution and compared to patients in other large, contemporary series.
    Materials and methods: AUS insertions performed at our institution between 2013 and 2017 were retrospectively reviewed to determine demographics, comorbidities, and perioperative and medium-term outcomes. Patients were grouped based on 1) known risk factors for infectious complications or erosion and 2) postoperative antibiotic prescription status. Patients were placed in Group 1 if… More >

  • Open Access

    ARTICLE

    Génération de cartes tactiles photoréalistes pour personnes déficientes visuelles par apprentissage profond

    Gauthier Fillières-Riveau1 , Jean-Marie Favreau1 , Vincent Barra1 , Guillaume Touya2

    Revue Internationale de Géomatique, Vol.30, No.1, pp. 105-126, 2020, DOI:10.3166/rig.2020.00104

    Abstract Les cartes tactiles photoréalistes sont un des outils mobilisés par les personnes en situation de déficience visuelle pour appréhender leur environnement urbain proche, notamment dans le cadre de la mobilité, pour la traversée de carrefours par exemple. Ces cartes sont aujourd’hui principalement fabriquées artisanalement. Dans cet article, nous proposons une approche permettant de produire une segmentation sémantique d’une imagerie aérienne de précision, étape centrale de cette fabrication. Les différents éléments d’intérêt tels que trottoirs, passages piétons, ou îlots centraux sont ainsi localisés et tracés dans l’espace urbain. Nous présentons en particulier comment l’augmentation de cette More >

  • Open Access

    REVIEW

    Progresses of mycobacteriophage-based Mycobacterium tuberculosis detection

    ZICHEN LIU1,#, SIYAO GUO2,3,#, MENGZHI JI1, KAILI SUN1, ZHONGFANG LI4,*, XIANGYU FAN1,*

    BIOCELL, Vol.44, No.4, pp. 683-694, 2020, DOI:10.32604/biocell.2020.011713 - 24 December 2020

    Abstract Tuberculosis (TB) remains a major cause of morbidity and mortality worldwide, particularly in developing countries. A rapid and efficient method for TB diagnosis is indispensable to check the trend of tuberculosis expansion. The emergence of drug-resistant bacteria has increased the challenge of rapid drug resistance tests. Due to its high specificity and sensitivity, bacteriophage-based diagnosis is intensively pursued. In this review, we mainly described mycobacteriophage-based diagnosis in TB detection, especially two prevalent approaches: fluorescent reporter phage and phage amplified biologically assay (PhaB). The rationale of reporter phage is that phage carrying fluorescent genes can infect More >

  • Open Access

    ARTICLE

    2,4-D Hyper Accumulation Induced Cellular Responses of Azolla pinnata R. Br. to Sustain Herbicidal Stress

    Arnab Kumar De, Arijit Ghosh, Debabrata Dolui, Indraneel Saha, Malay Kumar Adak*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 999-1017, 2020, DOI:10.32604/phyton.2020.010828 - 09 November 2020

    Abstract In the present experiment with ongoing concentration (0 µM, 100 µM, 250 µM, 500 µM and 1000 µM) of 2,4-D, the responses of Azolla pinnata R.Br. was evaluated based on cellular functions. Initially, plants were significantly tolerated up to 1000 µM of 2,4-D with its survival. This was accompanied by a steady decline of indole acetic acid (IAA) concentration in tissues with 78.8% over the control. Membrane bound H+ -ATPase activity was over expressed within a range of 1.14 to 1.25 folds with activator (KCl) and decreased within a range of 57.3 to 74.6% in response to… More >

  • Open Access

    ARTICLE

    Multiple Images Steganography of JPEG Images Based on Optimal Payload Distribution

    Yang Pei1,2, Xiangyang Luo1,2,*, Yi Zhang2, Liyan Zhu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 417-436, 2020, DOI:10.32604/cmes.2020.010636 - 18 September 2020

    Abstract Multiple images steganography refers to hiding secret messages in multiple natural images to minimize the leakage of secret messages during transmission. Currently, the main multiple images steganography algorithms mainly distribute the payloads as sparsely as possible in multiple cover images to improve the detection error rate of stego images. In order to enable the payloads to be accurately and efficiently distributed in each cover image, this paper proposes a multiple images steganography for JPEG images based on optimal payload redistribution. Firstly, the algorithm uses the principle of dynamic programming to redistribute the payloads of the… More >

  • Open Access

    ARTICLE

    Automated Chinese Essay Scoring Based on Deep Learning

    Shuai Yuan1, Tingting He2, 3, *, Huan Huang4, Rui Hou5, Meng Wang6

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 817-833, 2020, DOI:10.32604/cmc.2020.010471 - 23 July 2020

    Abstract Writing is an important part of language learning and is considered the best approach to demonstrate the comprehensive language skills of students. Manually grading student essays is a time-consuming task; however, it is necessary. An automated essay scoring system can not only greatly improve the efficiency of essay scoring, but also provide more objective score. Therefore, many researchers have been exploring automated essay scoring techniques and tools. However, the technique of scoring Chinese essays is still limited, and its accuracy needs to be enhanced further. To improve the accuracy of the scoring model for a… More >

  • Open Access

    ARTICLE

    Constructive Texture Steganography Based on Compression Mapping of Secret Messages

    Fengyong Li1, *, Zongliang Yu1, Chuan Qin2

    CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 393-410, 2020, DOI:10.32604/cmes.2020.09452 - 19 June 2020

    Abstract This paper proposes a new constructive texture synthesis steganographic scheme by compressing original secret messages. First, we divide the original message into multiple bit blocks, which are transferred to decimal values and compressed into small decimal values by recording their interval sign characters. Then, a candidate pattern is generated by combining the given source pattern and boundary extension algorithm. Furthermore, we segment the candidate pattern into multiple candidate patches and use affine transformation algorithm to locate secret positions on a blank canvas, which are used to hide the sign characters by mapping the candidate patches. More >

  • Open Access

    ARTICLE

    DNA damage-induced by sodium flouride (NaF) and the effect of cholicalciferol

    VEYSEL YÜKSEK1,*, SEMIHA DEDE2, AYŞE USTA3, SEDAT ÇETIN2, MEHMET TAŞPINAR4

    BIOCELL, Vol.44, No.2, pp. 263-268, 2020, DOI:10.32604/biocell.2020.09172 - 27 May 2020

    Abstract It is known that the high electronegativity of fluorine affects various soft tissues, especially the bone structure in organisms. Of these tissues are the kidneys, which play an important role in the excretion of fluoride from the body. Fluoride affects many cellular mechanisms. One of these effects is DNA damage. Our study aimed to investigate the likely protective effect of cholecalciferol (vitamin D3) on genomic DNA damage-induced NaF depending on concentration and time. The IC25 and IC50 values of NaF for 3, 12 and 24 h and optimum dose of increase in proliferation to vitamin D3More >

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